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Gaussian Processes

Papers archive 2025-07-28

archive papers tagged: 1,963 · with a code link: 685 · where Syntology ran a sample: 160 (131 with a run with no instrument failure, 29 where every run was a failure of Syntology's instrument) Syntology

Show: all tagged papersonly where code ran (160 of 1,963 tagged: 131 with a run with no instrument failure, 29 where every run was a failure of Syntology's instrument)

Page 13 of 20: papers 1,201 to 1,300 of 1,963, in archive order: by repositories listed in the archive (most first), then newest first, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers that list no repository come after every paper that lists one.

Papers without a page here are shown as plain text. A Syntology line reads “N ran (of which C constructed an object rather than computing a result; K with no instrument failure: H honoured, V violated, P with no contract checked; I where Syntology's instrument failed) · U unverified”; the figure “where Syntology's instrument failed” counts failures of Syntology's instrument, not of the code. When the archive marks a repository official for the paper, the line starts with that repository's state (the archive's flag, not a verdict on who wrote the code); hover it for the repositories the samples that ran came from. Abstracts are on each paper's page.

• Adaptive Low-Pass Filtering using Sliding Window Gaussian Processes
  5 Nov 2021 0 repositories listed
• Rate of Convergence of Polynomial Networks to Gaussian Processes
  4 Nov 2021 0 repositories listed
• End-to-End Learning of Deep Kernel Acquisition Functions for Bayesian Optimization
  1 Nov 2021 0 repositories listed
• Bayesian optimization of distributed neurodynamical controller models for spatial navigation
  31 Oct 2021 0 repositories listed
• A comparison of mixed-variables Bayesian optimization approaches
  30 Oct 2021 0 repositories listed
• Geometry-Aware Hierarchical Bayesian Learning on Manifolds
  30 Oct 2021 0 repositories listed
• Aligned Multi-Task Gaussian Process
  29 Oct 2021 0 repositories listed
• Dream to Explore: Adaptive Simulations for Autonomous Systems
  27 Oct 2021 0 repositories listed
• Vector-valued Gaussian Processes on Riemannian Manifolds via Gauge Independent Projected Kernels
  27 Oct 2021 0 repositories listed
• Adaptive Gaussian Processes on Graphs via Spectral Graph Wavelets
  25 Oct 2021 0 repositories listed
• Variational Gaussian Processes: A Functional Analysis View
  25 Oct 2021 0 repositories listed
• Using scientific machine learning for experimental bifurcation analysis of dynamic systems
  22 Oct 2021 0 repositories listed
• Computational Graph Completion
  20 Oct 2021 0 repositories listed
• Prediction of liquid fuel properties using machine learning models with Gaussian processes and probabilistic conditional generative learning
  18 Oct 2021 0 repositories listed
• On Estimating the Probabilistic Region of Attraction for Partially Unknown Nonlinear Systems: An Sum-of-Squares Approach
  17 Oct 2021 0 repositories listed
• Incremental Ensemble Gaussian Processes
  13 Oct 2021 0 repositories listed
• LazyPPL: laziness and types in non-parametric probabilistic programs
  8 Oct 2021 0 repositories listed
• Gaussian Process for Trajectories
  7 Oct 2021 0 repositories listed
• Bayesian neural network unit priors and generalized Weibull-tail property
  6 Oct 2021 0 repositories listed
• Extensions of Karger's Algorithm: Why They Fail in Theory and How They Are Useful in Practice
  5 Oct 2021 0 repositories listed
• On the Correspondence between Gaussian Processes and Geometric Harmonics
  5 Oct 2021 0 repositories listed
• Bayesian Relational Generative Model for Scalable Multi-modal Learning
  29 Sep 2021 0 repositories listed
• Decoupled Kernel Neural Processes: Neural Network-Parameterized Stochastic Processes using Explicit Data-driven Kernel
  29 Sep 2021 0 repositories listed
• Deep banach space kernels
  29 Sep 2021 0 repositories listed
• DEBOSH: Deep Bayesian Shape Optimization
  28 Sep 2021 0 repositories listed
• Gaussian Processes to speed up MCMC with automatic exploratory-exploitation effect
  28 Sep 2021 0 repositories listed
• Sparse Gaussian Processes for Stochastic Differential Equations
  27 Sep 2021 0 repositories listed
• A Dynamic Programming Algorithm for Finding an Optimal Sequence of Informative Measurements
  24 Sep 2021 0 repositories listed
• A Robust Asymmetric Kernel Function for Bayesian Optimization, with Application to Image Defect Detection in Manufacturing Systems
  22 Sep 2021 0 repositories listed
• MEPG: A Minimalist Ensemble Policy Gradient Framework for Deep Reinforcement Learning
  22 Sep 2021 0 repositories listed
• Scalable Multi-Task Gaussian Processes with Neural Embedding of Coregionalization
  20 Sep 2021 0 repositories listed
• Trust Your Robots! Predictive Uncertainty Estimation of Neural Networks with Sparse Gaussian Processes
  20 Sep 2021 0 repositories listed
• Mapping Input Noise to Escape Noise in Integrate-and-fire neurons: A Level-Crossing Approach
  15 Sep 2021 0 repositories listed
• Heading Estimation Using Ultra-Wideband Received Signal Strength and Gaussian Processes
  10 Sep 2021 0 repositories listed
• Towards Fully Automated Segmentation of Rat Cardiac MRI by Leveraging Deep Learning Frameworks
  9 Sep 2021 0 repositories listed
• Safety-Critical Learning of Robot Control with Temporal Logic Specifications
  7 Sep 2021 0 repositories listed
• Measuring Uncertainty in Signal Fingerprinting with Gaussian Processes Going Deep
  1 Sep 2021 0 repositories listed
• A theory of representation learning gives a deep generalisation of kernel methods
  30 Aug 2021 0 repositories listed
• Normalizing field flows: Solving forward and inverse stochastic differential equations using physics-informed flow models
  30 Aug 2021 0 repositories listed
• Approximate Bayesian Optimisation for Neural Networks
  27 Aug 2021 0 repositories listed
• Estimation of Riemannian distances between covariance operators and Gaussian processes
  26 Aug 2021 0 repositories listed
• Attainment Regions in Feature-Parameter Space for High-Level Debugging in Autonomous Robots
  6 Aug 2021 0 repositories listed
• Wasserstein-Splitting Gaussian Process Regression for Heterogeneous Online Bayesian Inference
  26 Jul 2021 0 repositories listed
• A brief note on understanding neural networks as Gaussian processes
  25 Jul 2021 0 repositories listed
• Adaptive Inducing Points Selection For Gaussian Processes
  21 Jul 2021 0 repositories listed
• A New Representation of Successor Features for Transfer across Dissimilar Environments
  18 Jul 2021 0 repositories listed
• Uncertainty Prediction for Machine Learning Models of Material Properties
  16 Jul 2021 0 repositories listed
• Input Dependent Sparse Gaussian Processes
  15 Jul 2021 0 repositories listed
• Hybrid Bayesian Neural Networks with Functional Probabilistic Layers
  14 Jul 2021 0 repositories listed
• Spectrum Gaussian Processes Based On Tunable Basis Functions
  14 Jul 2021 0 repositories listed
• Review of Video Predictive Understanding: Early Action Recognition and Future Action Prediction
  11 Jul 2021 0 repositories listed
• Efficient Model-Based Multi-Agent Mean-Field Reinforcement Learning
  8 Jul 2021 0 repositories listed
• Scaling Gaussian Processes with Derivative Information Using Variational Inference
  8 Jul 2021 0 repositories listed
• Harnessing Heterogeneity: Learning from Decomposed Feedback in Bayesian Modeling
  7 Jul 2021 0 repositories listed
• Random Neural Networks in the Infinite Width Limit as Gaussian Processes
  4 Jul 2021 0 repositories listed
• Preconditioning for Scalable Gaussian Process Hyperparameter Optimization
  1 Jul 2021 0 repositories listed
• Variance Reduction for Matrix Computations with Applications to Gaussian Processes
  28 Jun 2021 0 repositories listed
• Probabilistic analysis of solar cell optical performance using Gaussian processes
  26 Jun 2021 0 repositories listed
• Scalable Gaussian Processes for Data-Driven Design using Big Data with Categorical Factors
  26 Jun 2021 0 repositories listed
• Bayesian Inference in High-Dimensional Time-Serieswith the Orthogonal Stochastic Linear Mixing Model
  25 Jun 2021 0 repositories listed
• Innovations Autoencoder and its Application in One-class Anomalous Sequence Detection
  23 Jun 2021 0 repositories listed
• Deep Gaussian Processes: A Survey
  21 Jun 2021 0 repositories listed
• Measuring the robustness of Gaussian processes to kernel choice
  11 Jun 2021 0 repositories listed
• Probabilistic Forecasting of Imbalance Prices in the Belgian Context
  9 Jun 2021 0 repositories listed
• A self consistent theory of Gaussian Processes captures feature learning effects in finite CNNs
  8 Jun 2021 0 repositories listed
• The Future is Log-Gaussian: ResNets and Their Infinite-Depth-and-Width Limit at Initialization
  7 Jun 2021 0 repositories listed
• Learning particle swarming models from data with Gaussian processes
  4 Jun 2021 0 repositories listed
• Gaussian Processes on Hypergraphs
  3 Jun 2021 0 repositories listed
• Granger Causality from Quantized Measurements
  3 Jun 2021 0 repositories listed
• Connections and Equivalences between the Nyström Method and Sparse Variational Gaussian Processes
  2 Jun 2021 0 repositories listed
• Gaussian Processes with Differential Privacy
  1 Jun 2021 0 repositories listed
• Probabilistic Deep Learning with Probabilistic Neural Networks and Deep Probabilistic Models
  31 May 2021 0 repositories listed
• Inferring power system dynamics from synchrophasor data using Gaussian processes
  26 May 2021 0 repositories listed
• Hierarchical Non-Stationary Temporal Gaussian Processes With L¹-Regularization
  20 May 2021 0 repositories listed
• Nonlinear Hawkes Process with Gaussian Process Self Effects
  20 May 2021 0 repositories listed
• Priors in Bayesian Deep Learning: A Review
  14 May 2021 0 repositories listed
• Value-at-Risk Optimization with Gaussian Processes
  13 May 2021 0 repositories listed
• Deep Neural Networks as Point Estimates for Deep Gaussian Processes
  10 May 2021 0 repositories listed
• SigGPDE: Scaling Sparse Gaussian Processes on Sequential Data
  10 May 2021 0 repositories listed
• Local approximate Gaussian process regression for data-driven constitutive laws: Development and comparison with neural networks
  7 May 2021 0 repositories listed
• Normal Tempered Stable Processes and the Pricing of Energy Derivatives
  7 May 2021 0 repositories listed
• Fractional Barndorff-Nielsen and Shephard model: applications in variance and volatility swaps, and hedging
  5 May 2021 0 repositories listed
• Numerical Gaussian process Kalman filtering for spatiotemporal systems
  5 May 2021 0 repositories listed
• Distributional Gaussian Process Layers for Outlier Detection in Image Segmentation
  28 Apr 2021 0 repositories listed
• Finite sample approximations of exact and entropic Wasserstein distances between covariance operators and Gaussian processes
  26 Apr 2021 0 repositories listed
• One-parameter family of acquisition functions for efficient global optimization
  26 Apr 2021 0 repositories listed
• Correlated Dynamics in Marketing Sensitivities
  23 Apr 2021 0 repositories listed
• High-dimensional near-optimal experiment design for drug discovery via Bayesian sparse sampling
  23 Apr 2021 0 repositories listed
• Mixtures of Gaussian Processes for regression under multiple prior distributions
  19 Apr 2021 0 repositories listed
• Convolutional Normalizing Flows for Deep Gaussian Processes
  17 Apr 2021 0 repositories listed
• Deep Gaussian Processes for Biogeophysical Parameter Retrieval and Model Inversion
  16 Apr 2021 0 repositories listed
• Uncertainty-aware Remaining Useful Life predictor
  8 Apr 2021 0 repositories listed
• Fast Design Space Exploration of Nonlinear Systems: Part I
  5 Apr 2021 0 repositories listed
• Safe Online Learning-based Formation Control of Multi-Agent Systems with Gaussian Processes
  31 Mar 2021 0 repositories listed
• Deep Gaussian Processes for Few-Shot Segmentation
  30 Mar 2021 0 repositories listed
• Prediction of Ultrasonic Guided Wave Propagation in Solid-fluid and their Interface under Uncertainty using Machine Learning
  30 Mar 2021 0 repositories listed
• Distributed Learning Consensus Control for Unknown Nonlinear Multi-Agent Systems based on Gaussian Processes
  29 Mar 2021 0 repositories listed
• Simultaneous Reconstruction and Uncertainty Quantification for Tomography
  29 Mar 2021 0 repositories listed
• Performance-based Trajectory Optimization for Path Following Control Using Bayesian Optimization
  29 Mar 2021 0 repositories listed
• Gaussian Process Convolutional Dictionary Learning
  28 Mar 2021 0 repositories listed